DeepSeek Harness: Everything is a Plugin.
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DeepSeek Harness: Everything is a Plugin.
Build Agentic workflows, RAG pipelines, with rich AI model and tool support on one collaborative workspace. Deploy on cloud, VPC, or self-hosted, so teams move from prototype to production without rebuilding the stack.
The 1st Collaborative AI Design Agent Workspace. Local-first and open source. Create motion, prototypes, websites, apps, dashboards, presentations, images, and videos with your team and AI agents. Share work, exchange feedback, and iterate together in one workspace.
The fastest, cheapest, most efficient open-source agent harness. Run more than 500 agents on a $10 VPS.
The batteries-included agent harness.
A lightweight, powerful framework for multi-agent workflows
🤗 smolagents: a barebones library for agents that think in code.
Open-source AI orchestration framework for building context-engineered, production-ready LLM applications. Design modular pipelines and agent workflows with explicit control over retrieval, routing, memory, and generation. Built for scalable agents, RAG, multimodal applications, semantic search, and conversational systems.
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How Python does AI. Agents, realtime voice, image generation, embeddings. Every model, every interface, typed end to end.
"OpenHarness: Open Agent Harness with a Built-in Personal Agent--Ohmo!"
Unified framework for building enterprise RAG pipelines with small, specialized models
Multi-Agent Harness for Production AI
🧩 FrontierAgent, our agent framework, open-sourced alongside it — native command-line TUI, ReAct and Agent Team modes, one command on macOS and Linux, no preinstall, no hard Docker dependency.
Agnes Harness: A pluggable agent harness for Forward Deployed Engineering (FDE). Built for trust. Made for the real world.
Bub it. Build it. A tiny agent runtime, composable with plugins.
oar (Open Agent Runtime): programming interface for all agent harnesses
A framework for continual learning and recursive self-improvement through harness adapter evolution.
A framework for building decision-model harnesses for any kind of task. Your program offers the model a short list of next steps, and the model picks one at a time until it can answer.
Scikit-learn for Recursive Self-improvement (RSI). A modular framework for recursive harness evolution.
Official Code for OpenVLHarness: Real-World Visual Agentic Tool‑Use with Multimodal Memory
Unified LLM API, structured data outputs with LLMs, and agent SDK - in PHP
TranslatedSo powerful in function, yet so simple in code
Feather agent harness, training integrations, and evaluation tools for knowledge work